Hostname: page-component-586b7cd67f-vdxz6 Total loading time: 0 Render date: 2024-11-22T10:28:30.850Z Has data issue: false hasContentIssue false

Integrated control architecture based on behavior and plan for mobile robot navigation

Published online by Cambridge University Press:  01 July 1998

Jiyoon Chung
Affiliation:
Center for Artificial Intelligence Research, Dept. of Computer Science, KAIST, 373-1 Kusong-dong, Yusong-ku, Taejon, 305-701, Korea. E-mail: [email protected]
Byeong-Soon Ryu
Affiliation:
Center for Artificial Intelligence Research, Dept. of Computer Science, KAIST, 373-1 Kusong-dong, Yusong-ku, Taejon, 305-701, Korea. E-mail: [email protected]
Hyun S. Yang
Affiliation:
Center for Artificial Intelligence Research, Dept. of Computer Science, KAIST, 373-1 Kusong-dong, Yusong-ku, Taejon, 305-701, Korea. E-mail: [email protected]

Abstract

One of the most difficult challenges in mobile robotics is real-world navigation. A real world can change suddenly and this change makes the robot relinquish planning actions in advance. In order to overcome such a change, behavior-based navigation was introduced. However, it had a difficulty in planning deliberate actions and in communicating with humans.

We propose a new control strategy combining both the merits of behavior-based and planner-based approaches. The architecture consists of three major parts: Behaviors, Planner, and Coordinator. The Planner plays two important roles: 1) as a flexible human interface and 2) as the planner itself. The Coordinator serves as an interface between Behaviors and Planner and guides Behaviors to accomplish meaningful tasks according to the guidelines from the Planner and the Position estimator.

We also provide a brief description of the intelligent mobile robot CAIR-2 and for '95 IJCAI/AAAI Robot Competition and Exhibition when the robot was placed first in the Office Delivery event.

Type
Research Article
Copyright
© 1998 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)